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Paper Citation Record · LEDGER

Using Language and Road Manuals to Inform Map Reconstruction for Autonomous Driving

As of 10 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 0 inbound Pith citation observations for arXiv:2506.10317.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2506.10317 v2

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:36:04.207926Z

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

27 of 27 outbound references displayed

  • verified exact2
  • verified fuzzy12
  • unresolved12
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3daa7d96-064b-4f7f-9053-16b5ce8d908e · outbound

This paper cites Packt Publishing Ltd,.

Using Language and Road Manuals to Inform Map Reconstruction for Autonomous Driving Packt Publishing Ltd,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:36:05.008460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T04:36:04.099085Z digest=sha256:36d763bbedde3d74df922609595e0f5eba82880dd58954d57cfbc0923f6a020e

Observation ac7167b8-b6c1-4c27-b98f-a909eeaf7293 · outbound

This paper cites Lang, Sourabh V ora, Venice Erin Liong, Qiang Xu, Anush Krishnan, Yu Pan, Giancarlo Baldan, and Oscar Beijbom.

Using Language and Road Manuals to Inform Map Reconstruction for Autonomous Driving Lang, Sourabh V ora, Venice Erin Liong, Qiang Xu, Anush Krishnan, Yu Pan, Giancarlo Baldan, and Oscar Beijbom

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:36:04.974627Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T04:36:04.108077Z digest=sha256:b1fc18186af9c70b99d44529086e63323c2c1f6fff1d6ee03b31d45337693abd

Observation be745e1c-87d5-4672-b20c-16e7f459d9ac · outbound

This paper cites an unresolved cited work.

Using Language and Road Manuals to Inform Map Reconstruction for Autonomous Driving Unresolved cited work

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-07T04:36:04.112378Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:36:04.112378Z digest=sha256:d1cdc147a52e3b2096b7f30a00d56aa32cb673b8ecae3a99e7cbb0d1f48c566e

Observation 6c4563bd-8142-4d3f-b765-63669ae98b23 · outbound

This paper cites SD++: Enhancing Standard Definition Maps by Incorporating Road Knowledge using LLMs.

Using Language and Road Manuals to Inform Map Reconstruction for Autonomous Driving SD++: Enhancing Standard Definition Maps by Incorporating Road Knowledge using LLMs

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-07T04:36:04.116862Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:36:04.116862Z digest=sha256:89a8d6c4bb14a27cd3bd8bc1885ee8c573bda27413e6869ba5b0a2ae59fd9d5b

Observation 5c6072c7-939e-47f3-8c05-7aaa9bfdbded · outbound

This paper cites DenseTNT: End- to-End Trajectory Prediction From Dense Goal Sets.

Using Language and Road Manuals to Inform Map Reconstruction for Autonomous Driving DenseTNT: End- to-End Trajectory Prediction From Dense Goal Sets

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:36:04.960082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T04:36:04.121488Z digest=sha256:a6abcf536e1957c4b2ac10e136d7a43b95125a64648aec1880a85f5c55eabfb4

Observation 35ad2793-f29c-4f29-8132-d2b5b0671e3f · outbound

This paper cites Producing and leveraging online map uncertainty in trajectory prediction.

Using Language and Road Manuals to Inform Map Reconstruction for Autonomous Driving Producing and leveraging online map uncertainty in trajectory prediction

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:36:04.945934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T04:36:04.125524Z digest=sha256:27821c8eaa8120b4b8a8edd10f6497dea1872550d120ed957e8cc3e4f16f835d

Observation 6ae42afc-3be5-4113-8631-f2bba62aa086 · outbound

This paper cites Accelerating online mapping and behavior prediction via direct bev feature atten- tion.

Using Language and Road Manuals to Inform Map Reconstruction for Autonomous Driving Accelerating online mapping and behavior prediction via direct bev feature atten- tion

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-07T04:36:04.129597Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:36:04.129597Z digest=sha256:cbfda536ee39994fd6583f7beaa779dd465da133d7bb16cbc352500b1aa22358

Observation 24d764d7-61e3-422b-81a8-19de20b81865 · outbound

This paper cites HDM-RRT: A Fast HD-Map- Guided Motion Planning Algorithm for Autonomous Driving in the Campus Environment.Remote Sensing, 15(2), 2023.

Using Language and Road Manuals to Inform Map Reconstruction for Autonomous Driving HDM-RRT: A Fast HD-Map- Guided Motion Planning Algorithm for Autonomous Driving in the Campus Environment.Remote Sensing, 15(2), 2023

Reference 8

Resolution
verified exact
doi, observed 2026-08-07T04:36:04.255579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T04:36:04.134207Z digest=sha256:3389a4d615a7bc1928dce8dfd92e5a5fbfd9f003dcfdc352aad3bc83e3322c21

Observation 320b1de7-3870-4f91-8f26-8566f70a3088 · outbound

This paper cites ImagineMap: Enhanced HD Map Construction with SD Maps.

Using Language and Road Manuals to Inform Map Reconstruction for Autonomous Driving ImagineMap: Enhanced HD Map Construction with SD Maps

Reference 9

Resolution
verified exact
local_arxiv, observed 2026-08-07T04:36:04.732231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T04:36:04.138082Z digest=sha256:b6cb4da070866d6818b00185dcec94cbe84bbb03ccf65341a65ef43c072f7fc9

Observation 407e4ed5-0185-44dc-9bee-452c2674e597 · outbound

This paper cites HDMap- Net: An Online HD Map Construction and Evalua- tion Framework.

Using Language and Road Manuals to Inform Map Reconstruction for Autonomous Driving HDMap- Net: An Online HD Map Construction and Evalua- tion Framework

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:36:04.932321Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T04:36:04.142307Z digest=sha256:90675a35f37e3f6236152991b8948bcb1105f997e3be8de7f8e1e7850ea3195a

Observation 4a6044b8-3997-43c4-891b-bd5651a4746e · outbound

This paper cites Maptrv2: An end-to-end framework for online vectorized hd map construction.International Journal of Computer Vision, pages 1–23, 2024.

Using Language and Road Manuals to Inform Map Reconstruction for Autonomous Driving Maptrv2: An end-to-end framework for online vectorized hd map construction.International Journal of Computer Vision, pages 1–23, 2024

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-07T04:36:04.150514Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:36:04.150514Z digest=sha256:3785767b47ccf72605a8050d9668a2e09c05b097ed6f2bd16026ea790656e9c6

Observation 67fd6d00-1dee-4539-925d-892e5c864661 · outbound

This paper cites VectorMapNet: end-to-end vectorized HD map learning.

Using Language and Road Manuals to Inform Map Reconstruction for Autonomous Driving VectorMapNet: end-to-end vectorized HD map learning

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:36:04.917641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T04:36:04.154590Z digest=sha256:9c73a60aa98c8385a0e5edbdcdec9aaea2ecf0a46abcdfd670318a90f1917ae6

Observation 96268956-5c79-4e67-9938-0c2f7792960b · outbound

This paper cites Augmenting Lane Perception and Topology Un- derstanding with Standard Definition Navigation Maps.

Using Language and Road Manuals to Inform Map Reconstruction for Autonomous Driving Augmenting Lane Perception and Topology Un- derstanding with Standard Definition Navigation Maps

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-07T04:36:04.158679Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:36:04.158679Z digest=sha256:e8ec5c6f63a11b65b2423e23ad94e31a976ece63ff45850642fef202c4a7d457

Observation b50c73e6-64a7-4556-9a29-6d5b8a6d5e93 · outbound

This paper cites Department of Transportation.

Using Language and Road Manuals to Inform Map Reconstruction for Autonomous Driving Department of Transportation

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:36:04.902091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T04:36:04.162611Z digest=sha256:fdab1eedcc0854985de0c2a737b9d3c1807d4fac056f7affc76a8f88fb04b019

Observation 5bfcfe10-5c7e-4e59-83ef-98e9f64e8b00 · outbound

This paper cites Uni-PrevPredMap: Extending Pre- vPredMap to a Unified Framework of Prior-Informed Modeling for Online Vectorized HD Map Construction,.

Using Language and Road Manuals to Inform Map Reconstruction for Autonomous Driving Uni-PrevPredMap: Extending Pre- vPredMap to a Unified Framework of Prior-Informed Modeling for Online Vectorized HD Map Construction,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:36:04.886766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T04:36:04.166502Z digest=sha256:3c4983688f98b13f5f90368ca2760fdd87b9320e2afe23c316a81f9f72de49d2

Observation 47cae05f-fb4b-45db-bb14-86b7b53bf047 · outbound

This paper cites Scalability in Perception for Autonomous Driving: Waymo Open Dataset.

Using Language and Road Manuals to Inform Map Reconstruction for Autonomous Driving Scalability in Perception for Autonomous Driving: Waymo Open Dataset

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:36:04.872936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T04:36:04.174430Z digest=sha256:63af9b45f1a97ce80633855e97ef1f48bf90e47d9d91d46ddb14f0d73d3c09b2

Observation aa08fb6a-4699-4d71-b818-2707b478aa9d · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Using Language and Road Manuals to Inform Map Reconstruction for Autonomous Driving LLaMA: Open and Efficient Foundation Language Models

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-07T04:36:04.178339Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:36:04.178339Z digest=sha256:993a9da70f716354f2684a9fb9bf993456c84aef26c65679513f272fd56afa39

Observation b9bad241-6ad6-4f07-96e8-de2796eb20e0 · outbound

This paper cites OpenLane-V2: A Topology Reasoning Benchmark for Unified 3D HD Mapping.

Using Language and Road Manuals to Inform Map Reconstruction for Autonomous Driving OpenLane-V2: A Topology Reasoning Benchmark for Unified 3D HD Mapping

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:36:04.858938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T04:36:04.182809Z digest=sha256:890cd889655d5d7e9ea7e8455d92858200b065fb776465100fa8d9ac86922e4c

Observation 28a0473d-bdc0-4717-bebb-0aa1794f1ec3 · outbound

This paper cites Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting.

Using Language and Road Manuals to Inform Map Reconstruction for Autonomous Driving Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting

Reference 19

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unresolved
no resolver link, observed 2026-08-07T04:36:04.186872Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:36:04.186872Z digest=sha256:ab6bfceab99af55028e16993aa9752ebff90f965eb4628c7d5dd1d8ab9abd46a

Observation 06787e29-c55d-4d63-8289-c59c9c979f40 · outbound

This paper cites Neural Map Prior for Autonomous Driving.

Using Language and Road Manuals to Inform Map Reconstruction for Autonomous Driving Neural Map Prior for Autonomous Driving

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:36:04.843716Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T04:36:04.191156Z digest=sha256:be3eba9f50152dbd014a8a8e70ba3529e4008d9efcaabcb08baca9d4cde2794b

Observation 64502cca-066f-45b6-90c2-8a024732af6b · outbound

This paper cites TopoSD: Topology-Enhanced Lane Segment Perception with SDMap Prior.

Using Language and Road Manuals to Inform Map Reconstruction for Autonomous Driving TopoSD: Topology-Enhanced Lane Segment Perception with SDMap Prior

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-07T04:36:04.195108Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:36:04.195108Z digest=sha256:6c32431c4e4591a41880434ed9aed118e3d0eaf19ae9aef7055bc74dcfe148e3

Observation 9373d8fc-57cb-4417-8961-1ce0cdf17cb6 · outbound

This paper cites StreamMapNet: Streaming Mapping Network for Vectorized Online HD Map Construction.

Using Language and Road Manuals to Inform Map Reconstruction for Autonomous Driving StreamMapNet: Streaming Mapping Network for Vectorized Online HD Map Construction

Reference 22

Resolution
malformed identifier
no resolver link, observed 2026-08-07T04:36:04.199785Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:36:04.199785Z digest=sha256:8a9089d3b35fc9f66e0287494ea644cb67143e9bbc8df9f815be7e6c288d917f

Observation 02c64634-1313-4a49-bef1-473335213a81 · outbound

This paper cites HiVT: Hierarchical Vector Transformer for Multi-Agent Motion Prediction.

Using Language and Road Manuals to Inform Map Reconstruction for Autonomous Driving HiVT: Hierarchical Vector Transformer for Multi-Agent Motion Prediction

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:36:04.830080Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T04:36:04.203539Z digest=sha256:33757cb0773598d98b3847773f03a4cbbe3c6a23de1bb903bfdb69a298eefb86

Observation 123979af-b7c8-4c55-84b4-a165939721a4 · outbound

This paper cites Deformable DETR: Deformable Transformers for End-to-End Object Detection.

Using Language and Road Manuals to Inform Map Reconstruction for Autonomous Driving Deformable DETR: Deformable Transformers for End-to-End Object Detection

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-07T04:36:04.207926Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:36:04.207926Z digest=sha256:629059f92a73d74638c46298d386218e74b8956abe5e2926e73f8e1040c189ec

Observation fdbdf14c-8f0d-49b0-87bf-327485d706ad · outbound

This paper cites an unresolved cited work.

Using Language and Road Manuals to Inform Map Reconstruction for Autonomous Driving Unresolved cited work

Reference 2010

Resolution
unresolved
raw_fallback, observed 2026-08-07T04:36:04.993038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T04:36:04.103978Z digest=sha256:d0427661c1dc8e14761db638fe426f3eb7bc532d678c8ededd3c5385977e4aa3

Observation dc2b3652-34c7-4680-acf9-bd88a7681083 · outbound

This paper cites URL https://doi.org/10.1109/ICRA46639.2022.9812383.

Using Language and Road Manuals to Inform Map Reconstruction for Autonomous Driving URL https://doi.org/10.1109/ICRA46639.2022.9812383

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-07T04:36:04.146345Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:36:04.146345Z digest=sha256:f0fd82fea8eb33a6fb32c8c17bac663a536f68640ade4b8d6e7a151fe007923f

Observation 53eec22e-63a4-4dad-9d75-94d344e1cae8 · outbound

This paper cites an unresolved cited work.

Using Language and Road Manuals to Inform Map Reconstruction for Autonomous Driving Unresolved cited work

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-07T04:36:04.170333Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:36:04.170333Z digest=sha256:5d68ac5e1ecc465f9ba8d29e4eb3d5dbc730edef5dde1df09c7fca00f66e456d

Pith citing papers

No inbound Pith citation observations are available.